Title :
Adaptive identification algorithm for PA´s digital predistortion
Author :
Li Huan ; Pan Chengsheng ; Zhang Yu ; Ren Bo
Author_Institution :
Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Abstract :
According to the nonlinear amplification with memory characteristic of power amplifier(PA) in WCDMA systems, the structure of digital predistorter and predistorter identification algorithm are analyzed. An adaptive identification algorithm for Wiener power amplifier model with memory is proposed. The method can avoid the local convergence problem of NG algorithm effectively. Moreover it has a very good suppression of signal spectral regrowth. Theoretical analysis and computer simulation have verified the effectiveness and practicability of the algorithm.
Keywords :
distortion; interference suppression; power amplifiers; PA digital predistortion; WCDMA system; Wiener power amplifier model; adaptive identification algorithm; nonlinear amplification; predistorter identification algorithm; signal spectral regrowth suppression; Algorithm design and analysis; Computational modeling; Educational institutions; Electronic mail; Iterative methods; Predistortion; Digital Predistortion; LR Algorithm; Model; NG Iterative Algorithm; Power Amplifier; Wiener;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6